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AI observability

Grafana Assistant ✓

Monitor, analyze, and act faster with AI-powered observability.

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AI-powered Observability Open Source Application Performance Monitoring
More categories (4)
Real-time Monitoring Infrastructure Health Observer Data Analysis AI observability
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Free + from $19/mo

Verdict

A quick read before you dig into the full page.

Best if
Monitor, analyze, and act faster with AI-powered observability
Skip if
Complex initial setup
Pick this when
Real-time data monitoring

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Overview

Grafana Cloud is an AI-powered observability tool designed to streamline the process of monitoring and analyzing team's data in real-time. It offers open-source solutions that enable you to monitor application performance and ensures infrastructure health.

With the provision of logging, visualization, tracing, and metrics capabilities, it helps in identifying anomalies, conducting root cause analysis, creating Service Level Objectives (SLOs), and triggering alerts.

It also offers comprehensive application performance monitoring, infrastructure observability, performance testing and synthetic monitoring. Grafana Cloud provides features for incident response and on-call management, automating routine tasks and ushering in flexible management during incidents.

Its solutions are designed to include monitoring integrations with technologies such as Linux, Windows, Docker, PostgreSQL, MySQL, AWS, Kafka, Jenkins, RabbitMQ, MongoDB, Microsoft Azure, and Google Cloud.

The platform supports a wide array of data sources and offers visualization integrations with MongoDB, AppDynamics, Oracle, GitLab, Jira, Salesforce, Splunk, Datadog, New Relic, and Snowflake among others.

Committed to enhancing the ease and speed of onboarding and minimizing vendor lock-in, it aims to help teams work smarter across the observability journey.

Grafana Assistant website

Access & connections

Where you can use Grafana Assistant, and what it plugs into.

Platforms

Web

Integrations

Salesforce PostgreSQL Snowflake MongoDB GitLab Docker MySQL Jira

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API

Output

  • API

Pros & cons

Pros

  • Real-time data monitoring
  • Open-source solutions
  • Metrics capabilities
  • Logging and visualization
  • Anomaly identification
  • Root cause analysis
  • Service level objectives
  • Automated alert triggering
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  • Application performance monitoring
  • Infrastructure health observer
  • Performance testing
  • Synthetic monitoring
  • Incident response features
  • On-call management
  • Task automation during incidents
  • Flexible incident management
  • Linux Integration
  • Windows Integration
  • Docker Integration
  • PostgreSQL Integration
  • MySQL Integration
  • AWS Integration
  • Kafka Integration
  • Jenkins Integration
  • RabbitMQ Integration
  • MongoDB Integration
  • Microsoft Azure Integration
  • Google Cloud Integration
  • Wide data source support
  • MongoDB Visualization
  • AppDynamics Integration
  • Oracle Integration
  • GitLab Integration
  • Jira Integration
  • Salesforce Integration
  • Splunk Integration
  • Datadog Integration
  • New Relic Integration
  • Snowflake Integration
  • Easy and fast onboarding
  • Minimizes vendor lock-in

Cons

  • Complex initial setup
  • Requires in-depth technical skills
  • No integration with legacy systems
  • Lacks advanced security features
  • Vendor lock-in policy unclear
  • Performance testing limitations
  • Limited service-level objective customization
  • Inefficient alert triggering system
Show 2 more
  • No support for custom data sources
  • Limited user access control

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Releases 1

Initial release August 14, 2025 Current
Initial release of Grafana Assistant.

FAQ 12

What is Grafana Cloud's main functionality?
Grafana Cloud's main functionality is to provide an AI-powered observability tool design to streamline the process of monitoring and analyzing team's data in real-time. It includes features for application performance monitoring, infrastructure observability, and performance testing. The service is further enhanced with features relating to incident response, on-call management, task automation, and flexible management during incidents.
What AI capabilities does Grafana Cloud have?
Grafana Cloud possesses several AI capabilities. It provides AI-powered observability allowing the identification of anomalies and the conduction of root cause analysis. Moreover, the AI functionality allows for the creation of Service Level Objectives (SLOs), triggering of alerts, and application of real-time monitoring and data analysis.
Does Grafana Cloud offer real-time monitoring?
Yes, Grafana Cloud offers real-time monitoring. Its design enables the monitoring and analyzing of team's data in real-time. This includes both application performance and infrastructure health monitoring.
How does Grafana Cloud help in identifying anomalies?
Grafana Cloud assists in identifying anomalies by leveraging its AI-powered observability features. These capabilities allow for efficient real-time monitoring and data analysis. It also offers features for logging, visualization, tracing, and metrics, greatly aiding in anomaly detection.
What tools does Grafana Cloud provide for root cause analysis?
Grafana Cloud provides extensive tools for root cause analysis. It boasts AI/ML (Artificial Intelligence/Machine Learning) insights that can identify anomalies and reduce toil. It also offers automated anomaly correlation as part of its contextual root cause analysis features.
What are the capabilities of Grafana Cloud in terms of incident response and on-call management?
In terms of incident response and on-call management, Grafana Cloud offers automation of routine tasks to make incident management more flexible and less burdensome. It allows on-call personnel to respond and manage incidents efficiently and helps automate the process of incident summarizing, and checks so that the team can focus on higher-impact work.
Which technologies does Grafana Cloud integrate with for monitoring?
Grafana Cloud integrates with a wide range of technologies for monitoring. These include Linux, Windows, Docker, PostgreSQL, MySQL, AWS, Kafka, Jenkins, RabbitMQ, MongoDB, Microsoft Azure, and Google Cloud.
What databases does Grafana Cloud support?
Grafana Cloud supports a vast array of data sources and offers visualization integrations with many databases, including MongoDB, AppDynamics, Oracle, GitLab, Jira, Salesforce, Splunk, Datadog, New Relic, and Snowflake.
Does Grafana Cloud offer visualization integrations?
Yes, Grafana Cloud offers visualization integrations, creating a seamless connection with multiple databases including MongoDB, AppDynamics, Oracle, GitLab, Jira, Salesforce, Splunk, Datadog, New Relic, and Snowflake.
How does Grafana Cloud help in onboarding and vendor lock-in minimization?
Grafana Cloud is committed to enhancing the ease and speed of onboarding while minimizing vendor lock-in. It enables teams to onboard in minutes via chat-driven workflows, provides step-by-step guidance with AI-assisted support, and makes the process as easy as using natural language for writing queries and building dashboards.
What testing options are provided by Grafana Cloud?
Grafana Cloud provides both performance testing and synthetic monitoring options. These capabilities allow teams to continually monitor application performance and carry out performance testing as required.
How can Grafana Cloud aid in streamlining team's data analysis?
Grafana Cloud is extremely powerful in streamlining a team's data analysis. By leveraging its AI-powered real-time monitoring, metrics capabilities, and application performance monitoring, teams are equipped with relevant data insights to make informed decisions.
Grafana Assistant Free + from $19/mo
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